Daniel E. Bauer
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Virology 4
- HIV Research and Treatment 4
-
- Immune Cell Function and Interaction 2
- Co-authors
- Craig B. Thompson (2 shared papers)Julian J. Lum (1 shared paper)Marian H. Harris (1 shared paper)Chi Li (1 shared paper)Tullia Lindsten (1 shared paper)Mei Kong (1 shared paper)Xia Jin (4 shared papers)David D. Ho (3 shared papers)
- Journals
- The Journal of Experimental Medicine (2 papers)Acta Oto-Laryngologica (1 paper)Journal of Thoracic Imaging (1 paper)Molecular Medicine (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Daniel E. Bauer
13 papers receiving 3.2k citations
Daniel E. Bauer's Hit Papers
Peers
Comparison fields: 5 of 103
- Virology 1.3k
- Immunology 1.1k
- Epidemiology 1.2k
- Cancer Research 415
- Physiology 134
Countries citing papers authored by Daniel E. Bauer
This map shows the geographic impact of Daniel E. Bauer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel E. Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Bauer more than expected).
Fields of papers citing papers by Daniel E. Bauer
This network shows the impact of papers produced by Daniel E. Bauer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel E. Bauer. The network helps show where Daniel E. Bauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Bauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Growth Factor Regulation of Autophagy and Cell Survival in the Absence of Apoptosis Hit paper breakdown → | 2005 | 1257 |
| 2 | Dramatic Rise in Plasma Viremia after CD8+ T Cell Depletion in Simian Immunodeficiency Virus–infected Macaques Hit paper breakdown → | 1999 | 1208 |
| 3 | 2005 | 312 | |
| 4 | 2020 | 146 | |
| 5 | 1999 | 139 | |
| 6 | 2002 | 75 | |
| 7 | 2017 | 59 | |
| 8 | 2000 | 30 | |
| 9 | 2010 | 29 | |
| 10 | 2018 | 19 | |
| 11 | 2010 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 |
About Daniel E. Bauer
Daniel E. Bauer is a scholar working on Virology, Immunology, Cancer Research, Surgery and Critical Care and Intensive Care Medicine, having authored 13 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (2 papers), Pancreatic function and diabetes (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), HIV/AIDS Research and Interventions (1 paper) and Salivary Gland Tumors Diagnosis and Treatment (1 paper). The work is most often cited by research in Virology (1.3k citations), Immunology (1.1k citations), Epidemiology (1.2k citations), Cancer Research (415 citations) and Physiology (134 citations). Daniel E. Bauer has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Craig B. Thompson, Julian J. Lum, Marian H. Harris, Chi Li, Tullia Lindsten, Mei Kong, Xia Jin, David D. Ho, Leondios G. Kostrikis and Agegnehu Gettie. Their work appears in journals such as The Journal of Experimental Medicine, Acta Oto-Laryngologica, Journal of Thoracic Imaging, Molecular Medicine and Cell Death and Disease.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.